Movie Report

Dataset statistics

Number of variables	28
Number of observations	5043
Missing cells	2695
Missing cells (%)	1.9%
Duplicate rows	33
Duplicate rows (%)	0.7%
Total size in memory	4.9 MiB
Average record size in memory	1020.3 B

Variable types

Categorical	11
Numeric	16
URL	1

Warnings

Dataset has 33 (0.7%) duplicate rows	Duplicates
`director_name` has a high cardinality: 2399 distinct values	High cardinality
`actor_2_name` has a high cardinality: 3032 distinct values	High cardinality
`genres` has a high cardinality: 914 distinct values	High cardinality
`actor_1_name` has a high cardinality: 2097 distinct values	High cardinality
`movie_title` has a high cardinality: 4917 distinct values	High cardinality
`actor_3_name` has a high cardinality: 3521 distinct values	High cardinality
`plot_keywords` has a high cardinality: 4760 distinct values	High cardinality
`country` has a high cardinality: 63 distinct values	High cardinality
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 2 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `actor_2_facebook_likes`	High correlation
`actor_1_facebook_likes` is highly correlated with `cast_total_facebook_likes`	High correlation
`gross` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 3 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_1_facebook_likes` and 1 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 1 other fields	High correlation
`movie_facebook_likes` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `actor_1_facebook_likes` and 2 other fields	High correlation
`actor_1_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`gross` is highly correlated with `num_voted_users` and 2 other fields	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 3 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`budget` is highly correlated with `gross` and 1 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `num_voted_users` and 1 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `cast_total_facebook_likes` and 1 other fields	High correlation
`actor_1_facebook_likes` is highly correlated with `cast_total_facebook_likes` and 1 other fields	High correlation
`gross` is highly correlated with `num_voted_users`	High correlation
`num_voted_users` is highly correlated with `num_critic_for_reviews` and 2 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`num_user_for_reviews` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`cast_total_facebook_likes` is highly correlated with `actor_3_facebook_likes` and 2 other fields	High correlation
`actor_3_facebook_likes` is highly correlated with `cast_total_facebook_likes` and 2 other fields	High correlation
`gross` is highly correlated with `actor_3_facebook_likes` and 3 other fields	High correlation
`color` is highly correlated with `title_year`	High correlation
`title_year` is highly correlated with `color` and 1 other fields	High correlation
`duration` is highly correlated with `country` and 3 other fields	High correlation
`country` is highly correlated with `duration` and 2 other fields	High correlation
`content_rating` is highly correlated with `title_year` and 2 other fields	High correlation
`actor_1_facebook_likes` is highly correlated with `cast_total_facebook_likes`	High correlation
`movie_facebook_likes` is highly correlated with `num_critic_for_reviews` and 1 other fields	High correlation
`imdb_score` is highly correlated with `num_user_for_reviews` and 1 other fields	High correlation
`budget` is highly correlated with `country` and 1 other fields	High correlation
`num_user_for_reviews` is highly correlated with `gross` and 3 other fields	High correlation
`aspect_ratio` is highly correlated with `duration` and 1 other fields	High correlation
`language` is highly correlated with `duration` and 2 other fields	High correlation
`num_critic_for_reviews` is highly correlated with `gross` and 3 other fields	High correlation
`actor_2_facebook_likes` is highly correlated with `cast_total_facebook_likes`	High correlation
`num_voted_users` is highly correlated with `actor_3_facebook_likes` and 5 other fields	High correlation
`language` is highly correlated with `country`	High correlation
`country` is highly correlated with `language`	High correlation
`director_name` has 103 (2.0%) missing values	Missing
`director_facebook_likes` has 104 (2.1%) missing values	Missing
`gross` has 884 (17.5%) missing values	Missing
`plot_keywords` has 153 (3.0%) missing values	Missing
`content_rating` has 303 (6.0%) missing values	Missing
`budget` has 492 (9.8%) missing values	Missing
`title_year` has 108 (2.1%) missing values	Missing
`aspect_ratio` has 329 (6.5%) missing values	Missing
`budget` is highly skewed (γ1 = 48.15743539)	Skewed
`movie_title` is uniformly distributed	Uniform
`actor_3_name` is uniformly distributed	Uniform
`plot_keywords` is uniformly distributed	Uniform
`director_facebook_likes` has 907 (18.0%) zeros	Zeros
`actor_3_facebook_likes` has 89 (1.8%) zeros	Zeros
`facenumber_in_poster` has 2152 (42.7%) zeros	Zeros
`actor_2_facebook_likes` has 55 (1.1%) zeros	Zeros
`movie_facebook_likes` has 2181 (43.2%) zeros	Zeros

Reproduction

Analysis started	2021-09-08 08:12:40.314092
Analysis finished	2021-09-08 08:13:27.199459
Duration	46.89 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

color
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	19
Missing (%)	0.4%
Memory size	307.2 KiB

Color	4815
Black and White	209

Length

Max length	16
Median length	5
Mean length	5.457603503
Min length	5

Characters and Unicode

Total characters	27419
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Color
2nd row	Color
3rd row	Color
4th row	Color
5th row	Color

Common Values

Value	Count	Frequency (%)
Color	4815	95.5%
Black and White	209	4.1%
(Missing)	19	0.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
color	4815	88.5%
white	209	3.8%
and	209	3.8%
black	209	3.8%

Most occurring characters

Value	Count	Frequency (%)
o	9630	35.1%
l	5024	18.3%
C	4815	17.6%
r	4815	17.6%
	627	2.3%
a	418	1.5%
B	209	0.8%
c	209	0.8%
k	209	0.8%
n	209	0.8%
Other values (6)	1254	4.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21559	78.6%
Uppercase Letter	5233	19.1%
Space Separator	627	2.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	9630	44.7%
l	5024	23.3%
r	4815	22.3%
a	418	1.9%
c	209	1.0%
k	209	1.0%
n	209	1.0%
d	209	1.0%
h	209	1.0%
i	209	1.0%
Other values (2)	418	1.9%

Uppercase Letter

Value	Count	Frequency (%)
C	4815	92.0%
B	209	4.0%
W	209	4.0%

Space Separator

Value	Count	Frequency (%)
	627	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26792	97.7%
Common	627	2.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	9630	35.9%
l	5024	18.8%
C	4815	18.0%
r	4815	18.0%
a	418	1.6%
B	209	0.8%
c	209	0.8%
k	209	0.8%
n	209	0.8%
d	209	0.8%
Other values (5)	1045	3.9%

Common

Value	Count	Frequency (%)
	627	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27419	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	9630	35.1%
l	5024	18.3%
C	4815	17.6%
r	4815	17.6%
	627	2.3%
a	418	1.5%
B	209	0.8%
c	209	0.8%
k	209	0.8%
n	209	0.8%
Other values (6)	1254	4.6%

director_name
Categorical

HIGH CARDINALITY
MISSING

Distinct	2399
Distinct (%)	48.6%
Missing	103
Missing (%)	2.0%
Memory size	344.2 KiB

Steven Spielberg	26
Woody Allen	22
Martin Scorsese	20
Clint Eastwood	20
Ridley Scott	17
Other values (2394)	4835

Length

Max length	32
Median length	13
Mean length	13.08421053
Min length	3

Characters and Unicode

Total characters	64636
Distinct characters	76
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1505 ?
Unique (%)	30.5%

Sample

1st row	Tara Subkoff
2nd row	Jaume Balagueró
3rd row	Jaume Balagueró
4th row	Dan Trachtenberg
5th row	Timothy Hines

Common Values

Value	Count	Frequency (%)
Steven Spielberg	26	0.5%
Woody Allen	22	0.4%
Martin Scorsese	20	0.4%
Clint Eastwood	20	0.4%
Ridley Scott	17	0.3%
Spike Lee	16	0.3%
Tim Burton	16	0.3%
Steven Soderbergh	16	0.3%
Renny Harlin	15	0.3%
Oliver Stone	14	0.3%
Other values (2389)	4758	94.3%
(Missing)	103	2.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
john	180	1.8%
david	150	1.5%
michael	127	1.2%
james	87	0.8%
peter	85	0.8%
robert	84	0.8%
paul	81	0.8%
richard	80	0.8%
scott	65	0.6%
lee	58	0.6%
Other values (2967)	9279	90.3%

Most occurring characters

Value	Count	Frequency (%)
e	6098	9.4%
	5336	8.3%
a	5279	8.2%
n	4658	7.2%
r	4449	6.9%
o	3795	5.9%
i	3693	5.7%
l	2970	4.6%
t	2321	3.6%
s	2089	3.2%
Other values (66)	23948	37.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	48458	75.0%
Uppercase Letter	10495	16.2%
Space Separator	5336	8.3%
Other Punctuation	260	0.4%
Dash Punctuation	87	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6098	12.6%
a	5279	10.9%
n	4658	9.6%
r	4449	9.2%
o	3795	7.8%
i	3693	7.6%
l	2970	6.1%
t	2321	4.8%
s	2089	4.3%
h	1851	3.8%
Other values (31)	11255	23.2%

Uppercase Letter

Value	Count	Frequency (%)
S	999	9.5%
J	925	8.8%
M	886	8.4%
R	758	7.2%
C	712	6.8%
B	678	6.5%
D	619	5.9%
A	569	5.4%
L	499	4.8%
P	488	4.6%
Other values (21)	3362	32.0%

Other Punctuation

Value	Count	Frequency (%)
.	239	91.9%
'	21	8.1%

Space Separator

Value	Count	Frequency (%)
	5336	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	87	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58953	91.2%
Common	5683	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6098	10.3%
a	5279	9.0%
n	4658	7.9%
r	4449	7.5%
o	3795	6.4%
i	3693	6.3%
l	2970	5.0%
t	2321	3.9%
s	2089	3.5%
h	1851	3.1%
Other values (62)	21750	36.9%

Common

Value	Count	Frequency (%)
	5336	93.9%
.	239	4.2%
-	87	1.5%
'	21	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	64494	99.8%
Latin 1 Sup	142	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6098	9.5%
	5336	8.3%
a	5279	8.2%
n	4658	7.2%
r	4449	6.9%
o	3795	5.9%
i	3693	5.7%
l	2970	4.6%
t	2321	3.6%
s	2089	3.2%
Other values (46)	23806	36.9%

Latin 1 Sup

Value	Count	Frequency (%)
é	45	31.7%
á	19	13.4%
ó	16	11.3%
ö	16	11.3%
í	8	5.6%
ñ	7	4.9%
å	6	4.2%
ç	5	3.5%
É	3	2.1%
ä	2	1.4%
Other values (10)	15	10.6%

num_critic_for_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	528
Distinct (%)	10.6%
Missing	50
Missing (%)	1.0%
Infinite	0
Infinite (%)	0.0%
Mean	140.194272

Minimum	1
Maximum	813
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1
5-th percentile	9
Q1	50
median	110
Q3	195
95-th percentile	387
Maximum	813
Range	812
Interquartile range (IQR)	145

Descriptive statistics

Standard deviation	121.6016754
Coefficient of variation (CV)	0.8673797701
Kurtosis	2.91341641
Mean	140.194272
Median Absolute Deviation (MAD)	68
Skewness	1.5165327
Sum	699990
Variance	14786.96746
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	43	0.9%
9	37	0.7%
5	36	0.7%
10	35	0.7%
8	35	0.7%
12	34	0.7%
16	33	0.7%
81	33	0.7%
43	31	0.6%
29	30	0.6%
Other values (518)	4646	92.1%
(Missing)	50	1.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	43	0.9%
2	26	0.5%
3	24	0.5%
4	29	0.6%
5	36	0.7%
6	28	0.6%
7	23	0.5%
8	35	0.7%
9	37	0.7%
10	35	0.7%

Value	Count	Frequency (%)
813	1	< 0.1%
775	1	< 0.1%
765	1	< 0.1%
750	2	< 0.1%
739	1	< 0.1%
738	1	< 0.1%
733	1	< 0.1%
723	1	< 0.1%
712	1	< 0.1%
703	2	< 0.1%

duration
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	192
Distinct (%)	3.8%
Missing	13
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	107.2427435

Minimum	7
Maximum	511
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	7
5-th percentile	81
Q1	93
median	103
Q3	118
95-th percentile	146
Maximum	511
Range	504
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	25.49736947
Coefficient of variation (CV)	0.237753797
Kurtosis	23.93554408
Mean	107.2427435
Median Absolute Deviation (MAD)	12
Skewness	2.489825518
Sum	539431
Variance	650.1158501
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	161	3.2%
100	141	2.8%
101	139	2.8%
98	135	2.7%
97	131	2.6%
93	129	2.6%
99	124	2.5%
95	124	2.5%
94	124	2.5%
96	113	2.2%
Other values (182)	3709	73.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
7	2	< 0.1%
11	1	< 0.1%
14	1	< 0.1%
20	1	< 0.1%
22	7	0.1%
23	2	< 0.1%
24	2	< 0.1%
25	4	0.1%
27	1	< 0.1%
28	1	< 0.1%

Value	Count	Frequency (%)
511	1	< 0.1%
379	1	< 0.1%
334	1	< 0.1%
330	1	< 0.1%
325	1	< 0.1%
300	1	< 0.1%
293	1	< 0.1%
289	1	< 0.1%
286	1	< 0.1%
280	1	< 0.1%

director_facebook_likes
Real number (ℝ_≥0)

MISSING
ZEROS

Distinct	435
Distinct (%)	8.8%
Missing	104
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	686.5092124

Minimum	0
Maximum	23000
Zeros	907
Zeros (%)	18.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	49
Q3	194.5
95-th percentile	973
Maximum	23000
Range	23000
Interquartile range (IQR)	187.5

Descriptive statistics

Standard deviation	2813.328607
Coefficient of variation (CV)	4.098020181
Kurtosis	27.25628935
Mean	686.5092124
Median Absolute Deviation (MAD)	49
Skewness	5.22970117
Sum	3390669
Variance	7914817.85
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	907	18.0%
3	70	1.4%
6	66	1.3%
7	64	1.3%
2	63	1.2%
4	60	1.2%
11	59	1.2%
10	53	1.1%
8	52	1.0%
5	52	1.0%
Other values (425)	3493	69.3%
(Missing)	104	2.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	907	18.0%
2	63	1.2%
3	70	1.4%
4	60	1.2%
5	52	1.0%
6	66	1.3%
7	64	1.3%
8	52	1.0%
9	49	1.0%
10	53	1.1%

Value	Count	Frequency (%)
23000	1	< 0.1%
22000	8	0.2%
21000	10	0.2%
20000	1	< 0.1%
18000	4	0.1%
17000	20	0.4%
16000	28	0.6%
15000	2	< 0.1%
14000	30	0.6%
13000	26	0.5%

actor_3_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	906
Distinct (%)	18.0%
Missing	23
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	645.009761

Minimum	0
Maximum	23000
Zeros	89
Zeros (%)	1.8%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	10
Q1	133
median	371.5
Q3	636
95-th percentile	1000
Maximum	23000
Range	23000
Interquartile range (IQR)	503

Descriptive statistics

Standard deviation	1665.041728
Coefficient of variation (CV)	2.581420979
Kurtosis	60.56388811
Mean	645.009761
Median Absolute Deviation (MAD)	248.5
Skewness	7.279020793
Sum	3237949
Variance	2772363.957
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	126	2.5%
0	89	1.8%
11000	29	0.6%
3	28	0.6%
2000	27	0.5%
3000	26	0.5%
826	22	0.4%
2	21	0.4%
7	21	0.4%
4	21	0.4%
Other values (896)	4610	91.4%
(Missing)	23	0.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	89	1.8%
2	21	0.4%
3	28	0.6%
4	21	0.4%
5	18	0.4%
6	18	0.4%
7	21	0.4%
8	17	0.3%
9	16	0.3%
10	12	0.2%

Value	Count	Frequency (%)
23000	2	< 0.1%
20000	1	< 0.1%
19000	5	0.1%
17000	1	< 0.1%
16000	3	0.1%
15000	1	< 0.1%
14000	6	0.1%
13000	5	0.1%
12000	8	0.2%
11000	29	0.6%

actor_2_name
Categorical

HIGH CARDINALITY

Distinct	3032
Distinct (%)	60.3%
Missing	13
Missing (%)	0.3%
Memory size	347.4 KiB

Morgan Freeman	20
Charlize Theron	15
Brad Pitt	14
James Franco	11
Meryl Streep	11
Other values (3027)	4959

Length

Max length	28
Median length	13
Mean length	13.07435388
Min length	3

Characters and Unicode

Total characters	65764
Distinct characters	80
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2089 ?
Unique (%)	41.5%

Sample

1st row	Balthazar Getty
2nd row	Pablo Rosso
3rd row	Pablo Rosso
4th row	John Gallagher Jr.
5th row	Kelly LeBrock

Common Values

Value	Count	Frequency (%)
Morgan Freeman	20	0.4%
Charlize Theron	15	0.3%
Brad Pitt	14	0.3%
James Franco	11	0.2%
Meryl Streep	11	0.2%
Jason Flemyng	10	0.2%
Adam Sandler	10	0.2%
Scott Glenn	9	0.2%
Steve Buscemi	9	0.2%
Judy Greer	9	0.2%
Other values (3022)	4912	97.4%
(Missing)	13	0.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	102	1.0%
david	60	0.6%
john	56	0.5%
james	53	0.5%
scott	52	0.5%
tom	50	0.5%
jason	44	0.4%
robert	44	0.4%
kevin	41	0.4%
thomas	39	0.4%
Other values (3825)	9861	94.8%

Most occurring characters

Value	Count	Frequency (%)
e	6221	9.5%
a	5930	9.0%
	5372	8.2%
n	4762	7.2%
r	4398	6.7%
i	4018	6.1%
o	3645	5.5%
l	3420	5.2%
t	2348	3.6%
s	2160	3.3%
Other values (70)	23490	35.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	49447	75.2%
Uppercase Letter	10686	16.2%
Space Separator	5372	8.2%
Other Punctuation	189	0.3%
Dash Punctuation	64	0.1%
Decimal Number	6	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6221	12.6%
a	5930	12.0%
n	4762	9.6%
r	4398	8.9%
i	4018	8.1%
o	3645	7.4%
l	3420	6.9%
t	2348	4.7%
s	2160	4.4%
h	1796	3.6%
Other values (38)	10749	21.7%

Uppercase Letter

Value	Count	Frequency (%)
M	999	9.3%
S	821	7.7%
C	815	7.6%
B	773	7.2%
J	770	7.2%
D	668	6.3%
A	640	6.0%
R	592	5.5%
L	511	4.8%
T	463	4.3%
Other values (16)	3634	34.0%

Other Punctuation

Value	Count	Frequency (%)
.	124	65.6%
'	65	34.4%

Decimal Number

Value	Count	Frequency (%)
5	3	50.0%
0	3	50.0%

Space Separator

Value	Count	Frequency (%)
	5372	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60133	91.4%
Common	5631	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6221	10.3%
a	5930	9.9%
n	4762	7.9%
r	4398	7.3%
i	4018	6.7%
o	3645	6.1%
l	3420	5.7%
t	2348	3.9%
s	2160	3.6%
h	1796	3.0%
Other values (64)	21435	35.6%

Common

Value	Count	Frequency (%)
	5372	95.4%
.	124	2.2%
'	65	1.2%
-	64	1.1%
5	3	0.1%
0	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65642	99.8%
Latin 1 Sup	122	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6221	9.5%
a	5930	9.0%
	5372	8.2%
n	4762	7.3%
r	4398	6.7%
i	4018	6.1%
o	3645	5.6%
l	3420	5.2%
t	2348	3.6%
s	2160	3.3%
Other values (48)	23368	35.6%

Latin 1 Sup

Value	Count	Frequency (%)
é	43	35.2%
í	14	11.5%
á	10	8.2%
ë	8	6.6%
ó	6	4.9%
ø	6	4.9%
å	5	4.1%
ü	4	3.3%
ö	3	2.5%
û	3	2.5%
Other values (12)	20	16.4%

actor_1_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	878
Distinct (%)	17.4%
Missing	7
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	6560.047061

Minimum	0
Maximum	640000
Zeros	26
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	95.5
Q1	614
median	988
Q3	11000
95-th percentile	24000
Maximum	640000
Range	640000
Interquartile range (IQR)	10386

Descriptive statistics

Standard deviation	15020.75912
Coefficient of variation (CV)	2.289733439
Kurtosis	683.5473559
Mean	6560.047061
Median Absolute Deviation (MAD)	752.5
Skewness	19.12177638
Sum	33036397
Variance	225623204.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	449	8.9%
11000	211	4.2%
2000	197	3.9%
3000	155	3.1%
12000	135	2.7%
13000	127	2.5%
14000	123	2.4%
10000	112	2.2%
18000	109	2.2%
22000	82	1.6%
Other values (868)	3336	66.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	26	0.5%
2	8	0.2%
3	4	0.1%
4	2	< 0.1%
5	7	0.1%
6	3	0.1%
7	3	0.1%
8	1	< 0.1%
9	3	0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
640000	1	< 0.1%
260000	3	0.1%
164000	2	< 0.1%
137000	2	< 0.1%
87000	8	0.2%
77000	1	< 0.1%
49000	27	0.5%
46000	1	< 0.1%
45000	5	0.1%
44000	2	< 0.1%

gross
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	4035
Distinct (%)	97.0%
Missing	884
Missing (%)	17.5%
Infinite	0
Infinite (%)	0.0%
Mean	48468407.53

Minimum	162
Maximum	760505847
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	162
5-th percentile	99034
Q1	5340987.5
median	25517500
Q3	62309437.5
95-th percentile	180029729.4
Maximum	760505847
Range	760505685
Interquartile range (IQR)	56968450

Descriptive statistics

Standard deviation	68452990.44
Coefficient of variation (CV)	1.412321839
Kurtosis	14.86886885
Mean	48468407.53
Median Absolute Deviation (MAD)	23241132
Skewness	3.127203838
Sum	2.015801069 × 10¹¹
Variance	4.6858119 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
47000000	3	0.1%
3000000	3	0.1%
144512310	3	0.1%
34964818	3	0.1%
5773519	3	0.1%
177343675	3	0.1%
8000000	3	0.1%
218051260	3	0.1%
2000000	2	< 0.1%
35799026	2	< 0.1%
Other values (4025)	4131	81.9%
(Missing)	884	17.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
162	1	< 0.1%
703	1	< 0.1%
721	1	< 0.1%
728	1	< 0.1%
828	1	< 0.1%
1111	1	< 0.1%
1332	1	< 0.1%
1521	1	< 0.1%
1711	1	< 0.1%
2245	1	< 0.1%

Value	Count	Frequency (%)
760505847	1	< 0.1%
658672302	1	< 0.1%
652177271	1	< 0.1%
623279547	2	< 0.1%
533316061	1	< 0.1%
474544677	1	< 0.1%
460935665	1	< 0.1%
458991599	1	< 0.1%
448130642	1	< 0.1%
436471036	1	< 0.1%

genres
Categorical

HIGH CARDINALITY

Distinct	914
Distinct (%)	18.1%
Missing	0
Missing (%)	0.0%
Memory size	380.9 KiB

Drama	236
Comedy	209
Comedy\|Drama	191
Comedy\|Drama\|Romance	187
Comedy\|Romance	158
Other values (909)	4062

Length

Max length	64
Median length	20
Mean length	20.31310728
Min length	5

Characters and Unicode

Total characters	102439
Distinct characters	35
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	495 ?
Unique (%)	9.8%

Sample

1st row	Drama\|Horror\|Mystery\|Thriller
2nd row	Horror
3rd row	Horror
4th row	Drama\|Horror\|Mystery\|Sci-Fi\|Thriller
5th row	Drama

Common Values

Value	Count	Frequency (%)
Drama	236	4.7%
Comedy	209	4.1%
Comedy\|Drama	191	3.8%
Comedy\|Drama\|Romance	187	3.7%
Comedy\|Romance	158	3.1%
Drama\|Romance	152	3.0%
Crime\|Drama\|Thriller	101	2.0%
Horror	71	1.4%
Action\|Crime\|Drama\|Thriller	68	1.3%
Action\|Crime\|Thriller	65	1.3%
Other values (904)	3605	71.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
drama	236	4.7%
comedy	209	4.1%
comedy\|drama	191	3.8%
comedy\|drama\|romance	187	3.7%
comedy\|romance	158	3.1%
drama\|romance	152	3.0%
crime\|drama\|thriller	101	2.0%
horror	71	1.4%
action\|crime\|drama\|thriller	68	1.3%
action\|crime\|thriller	65	1.3%
Other values (904)	3605	71.5%

Most occurring characters

Value	Count	Frequency (%)
r	10547	10.3%
\|	9461	9.2%
a	9065	8.8%
e	7946	7.8%
m	7378	7.2%
i	6575	6.4%
o	6319	6.2%
y	4651	4.5%
n	4495	4.4%
t	4042	3.9%
Other values (25)	31960	31.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	77222	75.4%
Uppercase Letter	15131	14.8%
Math Symbol	9461	9.2%
Dash Punctuation	625	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	10547	13.7%
a	9065	11.7%
e	7946	10.3%
m	7378	9.6%
i	6575	8.5%
o	6319	8.2%
y	4651	6.0%
n	4495	5.8%
t	4042	5.2%
l	3508	4.5%
Other values (9)	12696	16.4%

Uppercase Letter

Value	Count	Frequency (%)
C	2761	18.2%
D	2715	17.9%
A	2318	15.3%
F	1778	11.8%
T	1413	9.3%
R	1109	7.3%
M	846	5.6%
S	804	5.3%
H	772	5.1%
W	310	2.0%
Other values (4)	305	2.0%

Math Symbol

Value	Count	Frequency (%)
\|	9461	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	625	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	92353	90.2%
Common	10086	9.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	10547	11.4%
a	9065	9.8%
e	7946	8.6%
m	7378	8.0%
i	6575	7.1%
o	6319	6.8%
y	4651	5.0%
n	4495	4.9%
t	4042	4.4%
l	3508	3.8%
Other values (23)	27827	30.1%

Common

Value	Count	Frequency (%)
\|	9461	93.8%
-	625	6.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	102439	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	10547	10.3%
\|	9461	9.2%
a	9065	8.8%
e	7946	7.8%
m	7378	7.2%
i	6575	6.4%
o	6319	6.2%
y	4651	4.5%
n	4495	4.4%
t	4042	3.9%
Other values (25)	31960	31.2%

actor_1_name
Categorical

HIGH CARDINALITY

Distinct	2097
Distinct (%)	41.6%
Missing	7
Missing (%)	0.1%
Memory size	347.3 KiB

Robert De Niro	49
Johnny Depp	41
Nicolas Cage	33
J.K. Simmons	31
Matt Damon	30
Other values (2092)	4852

Length

Max length	27
Median length	13
Mean length	13.19241461
Min length	4

Characters and Unicode

Total characters	66437
Distinct characters	76
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1360 ?
Unique (%)	27.0%

Sample

1st row	Timothy Hutton
2nd row	Jonathan D. Mellor
3rd row	Manuela Velasco
4th row	Bradley Cooper
5th row	Christopher Lambert

Common Values

Value	Count	Frequency (%)
Robert De Niro	49	1.0%
Johnny Depp	41	0.8%
Nicolas Cage	33	0.7%
J.K. Simmons	31	0.6%
Matt Damon	30	0.6%
Bruce Willis	30	0.6%
Denzel Washington	30	0.6%
Liam Neeson	29	0.6%
Harrison Ford	27	0.5%
Robin Williams	27	0.5%
Other values (2087)	4709	93.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
robert	109	1.0%
tom	93	0.9%
michael	89	0.9%
jason	59	0.6%
de	57	0.5%
james	54	0.5%
bruce	51	0.5%
steve	50	0.5%
jr	49	0.5%
niro	49	0.5%
Other values (2888)	9784	93.7%

Most occurring characters

Value	Count	Frequency (%)
e	6213	9.4%
a	5732	8.6%
	5408	8.1%
n	4818	7.3%
r	4311	6.5%
i	4249	6.4%
o	3918	5.9%
l	3312	5.0%
t	2569	3.9%
s	2349	3.5%
Other values (66)	23558	35.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50016	75.3%
Uppercase Letter	10711	16.1%
Space Separator	5408	8.1%
Other Punctuation	227	0.3%
Dash Punctuation	73	0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6213	12.4%
a	5732	11.5%
n	4818	9.6%
r	4311	8.6%
i	4249	8.5%
o	3918	7.8%
l	3312	6.6%
t	2569	5.1%
s	2349	4.7%
h	1791	3.6%
Other values (32)	10754	21.5%

Uppercase Letter

Value	Count	Frequency (%)
J	954	8.9%
M	912	8.5%
S	853	8.0%
C	818	7.6%
B	741	6.9%
D	728	6.8%
R	635	5.9%
H	524	4.9%
A	499	4.7%
L	490	4.6%
Other values (18)	3557	33.2%

Other Punctuation

Value	Count	Frequency (%)
.	179	78.9%
'	48	21.1%

Decimal Number

Value	Count	Frequency (%)
5	1	50.0%
0	1	50.0%

Space Separator

Value	Count	Frequency (%)
	5408	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	73	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60727	91.4%
Common	5710	8.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6213	10.2%
a	5732	9.4%
n	4818	7.9%
r	4311	7.1%
i	4249	7.0%
o	3918	6.5%
l	3312	5.5%
t	2569	4.2%
s	2349	3.9%
h	1791	2.9%
Other values (60)	21465	35.3%

Common

Value	Count	Frequency (%)
	5408	94.7%
.	179	3.1%
-	73	1.3%
'	48	0.8%
5	1	< 0.1%
0	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	66357	99.9%
Latin 1 Sup	80	0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6213	9.4%
a	5732	8.6%
	5408	8.1%
n	4818	7.3%
r	4311	6.5%
i	4249	6.4%
o	3918	5.9%
l	3312	5.0%
t	2569	3.9%
s	2349	3.5%
Other values (48)	23478	35.4%

Latin 1 Sup

Value	Count	Frequency (%)
é	20	25.0%
ë	15	18.8%
á	7	8.8%
í	6	7.5%
å	5	6.2%
ç	5	6.2%
ø	4	5.0%
Ó	3	3.8%
ü	2	2.5%
Á	2	2.5%
Other values (8)	11	13.8%

movie_title
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	4917
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Memory size	357.9 KiB

King Kong	3
Halloween	3
Pan	3
Victor Frankenstein	3
Home	3
Other values (4912)	5028

Length

Max length	86
Median length	14
Mean length	15.54987111
Min length	1

Characters and Unicode

Total characters	78418
Distinct characters	96
Distinct categories	13 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4798 ?
Unique (%)	95.1%

Sample

1st row	#Horror
2nd row	[Rec] 2
3rd row	[Rec]
4th row	10 Cloverfield Lane
5th row	10 Days in a Madhouse

Common Values

Value	Count	Frequency (%)
King Kong	3	0.1%
Halloween	3	0.1%
Pan	3	0.1%
Victor Frankenstein	3	0.1%
Home	3	0.1%
Ben-Hur	3	0.1%
The Fast and the Furious	3	0.1%
The Full Monty	2	< 0.1%
Dawn of the Dead	2	< 0.1%
The Jungle Book	2	< 0.1%
Other values (4907)	5016	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	1606	11.5%
of	483	3.5%
a	193	1.4%
and	150	1.1%
in	123	0.9%
to	107	0.8%
2	104	0.7%
	81	0.6%
man	66	0.5%
love	56	0.4%
Other values (4905)	10987	78.7%

Most occurring characters

Value	Count	Frequency (%)
	10209	13.0%
e	7898	10.1%
a	4859	6.2%
o	4669	6.0%
n	4141	5.3%
r	4135	5.3%
i	3933	5.0%
t	3818	4.9%
s	3007	3.8%
h	2975	3.8%
Other values (86)	28774	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	54383	69.4%
Uppercase Letter	12232	15.6%
Space Separator	10209	13.0%
Other Punctuation	952	1.2%
Decimal Number	527	0.7%
Dash Punctuation	95	0.1%
Open Punctuation	5	< 0.1%
Close Punctuation	5	< 0.1%
Currency Symbol	4	< 0.1%
Other Number	2	< 0.1%
Other values (3)	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	7898	14.5%
a	4859	8.9%
o	4669	8.6%
n	4141	7.6%
r	4135	7.6%
i	3933	7.2%
t	3818	7.0%
s	3007	5.5%
h	2975	5.5%
l	2538	4.7%
Other values (25)	12410	22.8%

Uppercase Letter

Value	Count	Frequency (%)
T	1724	14.1%
S	1054	8.6%
M	821	6.7%
B	778	6.4%
D	727	5.9%
C	687	5.6%
A	664	5.4%
L	580	4.7%
H	569	4.7%
W	505	4.1%
Other values (17)	4123	33.7%

Other Punctuation

Value	Count	Frequency (%)
:	371	39.0%
'	231	24.3%
.	145	15.2%
,	79	8.3%
&	61	6.4%
!	32	3.4%
?	16	1.7%
/	8	0.8%
*	5	0.5%
#	2	0.2%
Other values (2)	2	0.2%

Decimal Number

Value	Count	Frequency (%)
2	147	27.9%
0	87	16.5%
3	87	16.5%
1	82	15.6%
4	35	6.6%
8	22	4.2%
5	21	4.0%
9	17	3.2%
7	15	2.8%
6	14	2.7%

Open Punctuation

Value	Count	Frequency (%)
(	3	60.0%
[	2	40.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	60.0%
]	2	40.0%

Currency Symbol

Value	Count	Frequency (%)
$	2	50.0%
¢	2	50.0%

Space Separator

Value	Count	Frequency (%)
	10209	100.0%

Other Number

Value	Count	Frequency (%)
½	2	100.0%

Other Symbol

Value	Count	Frequency (%)
°	1	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	95	100.0%

Math Symbol

Value	Count	Frequency (%)
+	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	66615	84.9%
Common	11803	15.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	7898	11.9%
a	4859	7.3%
o	4669	7.0%
n	4141	6.2%
r	4135	6.2%
i	3933	5.9%
t	3818	5.7%
s	3007	4.5%
h	2975	4.5%
l	2538	3.8%
Other values (52)	24642	37.0%

Common

Value	Count	Frequency (%)
	10209	86.5%
:	371	3.1%
'	231	2.0%
2	147	1.2%
.	145	1.2%
-	95	0.8%
0	87	0.7%
3	87	0.7%
1	82	0.7%
,	79	0.7%
Other values (24)	270	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	78395	> 99.9%
Latin 1 Sup	23	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	10209	13.0%
e	7898	10.1%
a	4859	6.2%
o	4669	6.0%
n	4141	5.3%
r	4135	5.3%
i	3933	5.0%
t	3818	4.9%
s	3007	3.8%
h	2975	3.8%
Other values (72)	28751	36.7%

Latin 1 Sup

Value	Count	Frequency (%)
é	8	34.8%
½	2	8.7%
¢	2	8.7%
Æ	1	4.3%
°	1	4.3%
ü	1	4.3%
í	1	4.3%
ó	1	4.3%
à	1	4.3%
ä	1	4.3%
Other values (4)	4	17.4%

num_voted_users
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4826
Distinct (%)	95.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	83668.16082

Minimum	5
Maximum	1689764
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	5
5-th percentile	514.6
Q1	8593.5
median	34359
Q3	96309
95-th percentile	332254.9
Maximum	1689764
Range	1689759
Interquartile range (IQR)	87715.5

Descriptive statistics

Standard deviation	138485.2568
Coefficient of variation (CV)	1.655172714
Kurtosis	24.44552017
Mean	83668.16082
Median Absolute Deviation (MAD)	30816
Skewness	4.029871144
Sum	421938535
Variance	1.917816635 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
57	5	0.1%
6	4	0.1%
374	3	0.1%
62	3	0.1%
53	3	0.1%
2541	3	0.1%
38	3	0.1%
6025	3	0.1%
162	3	0.1%
3119	3	0.1%
Other values (4816)	5010	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
5	2	< 0.1%
6	4	0.1%
7	2	< 0.1%
8	3	0.1%
10	1	< 0.1%
13	1	< 0.1%
15	2	< 0.1%
16	1	< 0.1%
18	2	< 0.1%
19	1	< 0.1%

Value	Count	Frequency (%)
1689764	1	< 0.1%
1676169	1	< 0.1%
1468200	1	< 0.1%
1347461	1	< 0.1%
1324680	1	< 0.1%
1251222	1	< 0.1%
1238746	1	< 0.1%
1217752	1	< 0.1%
1215718	1	< 0.1%
1155770	1	< 0.1%

cast_total_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	3978
Distinct (%)	78.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9699.063851

Minimum	0
Maximum	656730
Zeros	33
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	179
Q1	1411
median	3090
Q3	13756.5
95-th percentile	36927.7
Maximum	656730
Range	656730
Interquartile range (IQR)	12345.5

Descriptive statistics

Standard deviation	18163.79912
Coefficient of variation (CV)	1.872737349
Kurtosis	361.2551153
Mean	9699.063851
Median Absolute Deviation (MAD)	2302
Skewness	12.83192773
Sum	48912379
Variance	329923598.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	33	0.7%
5	7	0.1%
2020	6	0.1%
2	6	0.1%
673	5	0.1%
1044	5	0.1%
29	5	0.1%
679	4	0.1%
15	4	0.1%
81	4	0.1%
Other values (3968)	4964	98.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	33	0.7%
2	6	0.1%
3	1	< 0.1%
4	2	< 0.1%
5	7	0.1%
6	2	< 0.1%
7	1	< 0.1%
8	2	< 0.1%
10	1	< 0.1%
11	2	< 0.1%

Value	Count	Frequency (%)
656730	1	< 0.1%
303717	1	< 0.1%
283939	1	< 0.1%
263584	1	< 0.1%
261818	1	< 0.1%
170118	1	< 0.1%
140268	1	< 0.1%
137712	1	< 0.1%
120797	1	< 0.1%
108016	1	< 0.1%

actor_3_name
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	3521
Distinct (%)	70.1%
Missing	23
Missing (%)	0.5%
Memory size	347.3 KiB

Steve Coogan	8
Ben Mendelsohn	8
John Heard	8
Robert Duvall	7
Stephen Root	7
Other values (3516)	4982

Length

Max length	29
Median length	13
Mean length	13.08227092
Min length	3

Characters and Unicode

Total characters	65673
Distinct characters	81
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2648 ?
Unique (%)	52.7%

Sample

1st row	Lydia Hearst
2nd row	Andrea Ros
3rd row	Carlos Lasarte
4th row	Sumalee Montano
5th row	Alexandra Callas

Common Values

Value	Count	Frequency (%)
Steve Coogan	8	0.2%
Ben Mendelsohn	8	0.2%
John Heard	8	0.2%
Robert Duvall	7	0.1%
Stephen Root	7	0.1%
Sam Shepard	7	0.1%
Jon Gries	7	0.1%
Kirsten Dunst	7	0.1%
Lois Maxwell	7	0.1%
Anne Hathaway	7	0.1%
Other values (3511)	4947	98.1%
(Missing)	23	0.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
michael	86	0.8%
john	80	0.8%
david	70	0.7%
james	69	0.7%
robert	46	0.4%
tom	43	0.4%
paul	42	0.4%
kevin	41	0.4%
peter	38	0.4%
steve	36	0.3%
Other values (4307)	9842	94.7%

Most occurring characters

Value	Count	Frequency (%)
e	6190	9.4%
a	5995	9.1%
	5373	8.2%
n	4589	7.0%
r	4183	6.4%
i	3975	6.1%
o	3584	5.5%
l	3508	5.3%
t	2354	3.6%
s	2343	3.6%
Other values (71)	23579	35.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	49295	75.1%
Uppercase Letter	10690	16.3%
Space Separator	5373	8.2%
Other Punctuation	234	0.4%
Dash Punctuation	79	0.1%
Decimal Number	2	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6190	12.6%
a	5995	12.2%
n	4589	9.3%
r	4183	8.5%
i	3975	8.1%
o	3584	7.3%
l	3508	7.1%
t	2354	4.8%
s	2343	4.8%
h	1857	3.8%
Other values (34)	10717	21.7%

Uppercase Letter

Value	Count	Frequency (%)
M	986	9.2%
J	832	7.8%
S	830	7.8%
B	806	7.5%
C	792	7.4%
D	653	6.1%
R	615	5.8%
A	589	5.5%
L	536	5.0%
K	464	4.3%
Other values (21)	3587	33.6%

Other Punctuation

Value	Count	Frequency (%)
.	171	73.1%
'	63	26.9%

Decimal Number

Value	Count	Frequency (%)
5	1	50.0%
0	1	50.0%

Space Separator

Value	Count	Frequency (%)
	5373	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	79	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	59985	91.3%
Common	5688	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6190	10.3%
a	5995	10.0%
n	4589	7.7%
r	4183	7.0%
i	3975	6.6%
o	3584	6.0%
l	3508	5.8%
t	2354	3.9%
s	2343	3.9%
h	1857	3.1%
Other values (65)	21407	35.7%

Common

Value	Count	Frequency (%)
	5373	94.5%
.	171	3.0%
-	79	1.4%
'	63	1.1%
5	1	< 0.1%
0	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65537	99.8%
Latin 1 Sup	136	0.2%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6190	9.4%
a	5995	9.1%
	5373	8.2%
n	4589	7.0%
r	4183	6.4%
i	3975	6.1%
o	3584	5.5%
l	3508	5.4%
t	2354	3.6%
s	2343	3.6%
Other values (48)	23443	35.8%

Latin 1 Sup

Value	Count	Frequency (%)
é	49	36.0%
í	14	10.3%
á	13	9.6%
ó	9	6.6%
ë	7	5.1%
ü	7	5.1%
à	6	4.4%
è	4	2.9%
ç	3	2.2%
å	3	2.2%
Other values (13)	21	15.4%

facenumber_in_poster
Real number (ℝ_≥0)

ZEROS

Distinct	19
Distinct (%)	0.4%
Missing	13
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	1.371172962

Minimum	0
Maximum	43
Zeros	2152
Zeros (%)	42.7%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	5
Maximum	43
Range	43
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.01357592
Coefficient of variation (CV)	1.468506144
Kurtosis	52.03373533
Mean	1.371172962
Median Absolute Deviation (MAD)	1
Skewness	4.384765939
Sum	6897
Variance	4.054487986
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
0	2152	42.7%
1	1251	24.8%
2	716	14.2%
3	380	7.5%
4	207	4.1%
5	114	2.3%
6	76	1.5%
7	48	1.0%
8	37	0.7%
9	18	0.4%
Other values (9)	31	0.6%
(Missing)	13	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2152	42.7%
1	1251	24.8%
2	716	14.2%
3	380	7.5%
4	207	4.1%
5	114	2.3%
6	76	1.5%
7	48	1.0%
8	37	0.7%
9	18	0.4%

Value	Count	Frequency (%)
43	1	< 0.1%
31	1	< 0.1%
19	1	< 0.1%
15	6	0.1%
14	1	< 0.1%
13	2	< 0.1%
12	4	0.1%
11	5	0.1%
10	10	0.2%
9	18	0.4%

plot_keywords
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct	4760
Distinct (%)	97.3%
Missing	153
Missing (%)	3.0%
Memory size	527.5 KiB

based on novel	4
assistant\|experiment\|frankenstein\|medical student\|scientist	3
one word title	3
alien friendship\|alien invasion\|australia\|flying car\|mother daughter relationship	3
1940s\|child hero\|fantasy world\|orphan\|reference to peter pan	3
Other values (4755)	4874

Length

Max length	149
Median length	50
Mean length	52.43312883
Min length	2

Characters and Unicode

Total characters	256398
Distinct characters	42
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4639 ?
Unique (%)	94.9%

Sample

1st row	bullying\|cyberbullying\|girl\|internet\|throat slitting
2nd row	apartment\|apartment building\|blood sample\|crucifix\|zombie
3rd row	apartment building\|character's point of view camera shot\|fire station\|subjective camera\|television reporter
4th row	alien\|bunker\|car crash\|kidnapping\|minimal cast
5th row	dating\|protective father\|school\|shrew\|teen movie

Common Values

Value	Count	Frequency (%)
based on novel	4	0.1%
assistant\|experiment\|frankenstein\|medical student\|scientist	3	0.1%
one word title	3	0.1%
alien friendship\|alien invasion\|australia\|flying car\|mother daughter relationship	3	0.1%
1940s\|child hero\|fantasy world\|orphan\|reference to peter pan	3	0.1%
halloween\|masked killer\|michael myers\|slasher\|trick or treat	3	0.1%
eighteen wheeler\|illegal street racing\|truck\|trucker\|undercover cop	3	0.1%
animal name in title\|ape abducts a woman\|gorilla\|island\|king kong	3	0.1%
ghost\|haunted\|haunting\|house\|paranormal investigator	2	< 0.1%
famous line\|hand to hand combat\|kraken\|rape\|zeus	2	< 0.1%
Other values (4750)	4861	96.4%
(Missing)	153	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
in	331	1.8%
of	222	1.2%
on	209	1.2%
the	191	1.1%
a	185	1.0%
to	180	1.0%
york	122	0.7%
based	106	0.6%
female	104	0.6%
by	99	0.5%
Other values (11486)	16269	90.3%

Most occurring characters

Value	Count	Frequency (%)
e	24818	9.7%
a	19577	7.6%
\|	19207	7.5%
i	18742	7.3%
r	18124	7.1%
t	16182	6.3%
n	15662	6.1%
o	15480	6.0%
s	13297	5.2%
	13128	5.1%
Other values (32)	82181	32.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	222711	86.9%
Math Symbol	19207	7.5%
Space Separator	13128	5.1%
Decimal Number	1131	0.4%
Other Punctuation	219	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	24818	11.1%
a	19577	8.8%
i	18742	8.4%
r	18124	8.1%
t	16182	7.3%
n	15662	7.0%
o	15480	7.0%
s	13297	6.0%
l	11203	5.0%
c	9463	4.2%
Other values (16)	60163	27.0%

Decimal Number

Value	Count	Frequency (%)
1	284	25.1%
0	270	23.9%
9	222	19.6%
2	81	7.2%
8	65	5.7%
7	49	4.3%
5	47	4.2%
3	44	3.9%
6	38	3.4%
4	31	2.7%

Other Punctuation

Value	Count	Frequency (%)
.	130	59.4%
'	89	40.6%

Math Symbol

Value	Count	Frequency (%)
\|	19207	100.0%

Space Separator

Value	Count	Frequency (%)
	13128	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	222711	86.9%
Common	33687	13.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	24818	11.1%
a	19577	8.8%
i	18742	8.4%
r	18124	8.1%
t	16182	7.3%
n	15662	7.0%
o	15480	7.0%
s	13297	6.0%
l	11203	5.0%
c	9463	4.2%
Other values (16)	60163	27.0%

Common

Value	Count	Frequency (%)
\|	19207	57.0%
	13128	39.0%
1	284	0.8%
0	270	0.8%
9	222	0.7%
.	130	0.4%
'	89	0.3%
2	81	0.2%
8	65	0.2%
7	49	0.1%
Other values (6)	162	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	256398	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	24818	9.7%
a	19577	7.6%
\|	19207	7.5%
i	18742	7.3%
r	18124	7.1%
t	16182	6.3%
n	15662	6.1%
o	15480	6.0%
s	13297	5.2%
	13128	5.1%
Other values (32)	82181	32.1%

movie_imdb_link
URL

Distinct	4919
Distinct (%)	97.5%
Missing	0
Missing (%)	0.0%
Memory size	536.9 KiB

http://www.imdb.com/title/tt2224026/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt1976009/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt2638144/?ref_=fn_tt_tt_1	3
http://www.imdb.com/title/tt0232500/?ref_=fn_tt_tt_1	3
Other values (4914)	5028

Value	Count	Frequency (%)
http://www.imdb.com/title/tt2224026/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0360717/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt1976009/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt2638144/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0232500/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0077651/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt3332064/?ref_=fn_tt_tt_1	3	0.1%
http://www.imdb.com/title/tt0467406/?ref_=fn_tt_tt_1	2	< 0.1%
http://www.imdb.com/title/tt1502712/?ref_=fn_tt_tt_1	2	< 0.1%
http://www.imdb.com/title/tt0082517/?ref_=fn_tt_tt_1	2	< 0.1%
Other values (4909)	5016	99.5%

Value	Count	Frequency (%)
http	5043	100.0%

Value	Count	Frequency (%)
www.imdb.com	5043	100.0%

Value	Count	Frequency (%)
/title/tt0077651/	3	0.1%
/title/tt3332064/	3	0.1%
/title/tt2224026/	3	0.1%
/title/tt0232500/	3	0.1%
/title/tt1976009/	3	0.1%
/title/tt0360717/	3	0.1%
/title/tt2638144/	3	0.1%
/title/tt1939659/	2	< 0.1%
/title/tt0363547/	2	< 0.1%
/title/tt0443543/	2	< 0.1%
Other values (4909)	5016	99.5%

Value	Count	Frequency (%)
ref_=fn_tt_tt_1	5043	100.0%

Value	Count	Frequency (%)
	5043	100.0%

num_user_for_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	954
Distinct (%)	19.0%
Missing	21
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	272.7708084

Minimum	1
Maximum	5060
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1
5-th percentile	10
Q1	65
median	156
Q3	326
95-th percentile	907.8
Maximum	5060
Range	5059
Interquartile range (IQR)	261

Descriptive statistics

Standard deviation	377.9828856
Coefficient of variation (CV)	1.385716044
Kurtosis	26.43829739
Mean	272.7708084
Median Absolute Deviation (MAD)	113
Skewness	4.121475159
Sum	1369855
Variance	142871.0618
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	51	1.0%
3	33	0.7%
2	32	0.6%
26	32	0.6%
10	29	0.6%
6	28	0.6%
50	26	0.5%
8	25	0.5%
32	25	0.5%
31	24	0.5%
Other values (944)	4717	93.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	51	1.0%
2	32	0.6%
3	33	0.7%
4	23	0.5%
5	19	0.4%
6	28	0.6%
7	17	0.3%
8	25	0.5%
9	23	0.5%
10	29	0.6%

Value	Count	Frequency (%)
5060	1	< 0.1%
4667	1	< 0.1%
4144	1	< 0.1%
3646	1	< 0.1%
3597	1	< 0.1%
3516	1	< 0.1%
3400	1	< 0.1%
3286	1	< 0.1%
3189	1	< 0.1%
3054	1	< 0.1%

language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	47
Distinct (%)	0.9%
Missing	12
Missing (%)	0.2%
Memory size	314.8 KiB

English	4704
French	73
Spanish	40
Hindi	28
Mandarin	26
Other values (42)	160

Length

Max length	10
Median length	7
Mean length	6.980719539
Min length	4

Characters and Unicode

Total characters	35120
Distinct characters	43
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	0.4%

Sample

1st row	English
2nd row	Spanish
3rd row	Spanish
4th row	English
5th row	English

Common Values

Value	Count	Frequency (%)
English	4704	93.3%
French	73	1.4%
Spanish	40	0.8%
Hindi	28	0.6%
Mandarin	26	0.5%
German	19	0.4%
Japanese	18	0.4%
Cantonese	11	0.2%
Russian	11	0.2%
Italian	11	0.2%
Other values (37)	90	1.8%
(Missing)	12	0.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
english	4704	93.5%
french	73	1.5%
spanish	40	0.8%
hindi	28	0.6%
mandarin	26	0.5%
german	19	0.4%
japanese	18	0.4%
cantonese	11	0.2%
italian	11	0.2%
russian	11	0.2%
Other values (37)	90	1.8%

Most occurring characters

Value	Count	Frequency (%)
n	5032	14.3%
i	4906	14.0%
h	4845	13.8%
s	4828	13.7%
l	4731	13.5%
g	4722	13.4%
E	4704	13.4%
a	252	0.7%
e	217	0.6%
r	160	0.5%
Other values (33)	723	2.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	30089	85.7%
Uppercase Letter	5031	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	5032	16.7%
i	4906	16.3%
h	4845	16.1%
s	4828	16.0%
l	4731	15.7%
g	4722	15.7%
a	252	0.8%
e	217	0.7%
r	160	0.5%
c	88	0.3%
Other values (13)	308	1.0%

Uppercase Letter

Value	Count	Frequency (%)
E	4704	93.5%
F	74	1.5%
S	47	0.9%
H	34	0.7%
M	28	0.6%
G	20	0.4%
J	18	0.4%
P	17	0.3%
C	15	0.3%
I	15	0.3%
Other values (10)	59	1.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	35120	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	5032	14.3%
i	4906	14.0%
h	4845	13.8%
s	4828	13.7%
l	4731	13.5%
g	4722	13.4%
E	4704	13.4%
a	252	0.7%
e	217	0.6%
r	160	0.5%
Other values (33)	723	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	35120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	5032	14.3%
i	4906	14.0%
h	4845	13.8%
s	4828	13.7%
l	4731	13.5%
g	4722	13.4%
E	4704	13.4%
a	252	0.7%
e	217	0.6%
r	160	0.5%
Other values (33)	723	2.1%

country
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	63
Distinct (%)	1.3%
Missing	5
Missing (%)	0.1%
Memory size	297.9 KiB

USA	3809
UK	448
France	154
Canada	126
Germany	97
Other values (58)	404

Length

Max length	20
Median length	3
Mean length	3.486304089
Min length	2

Characters and Unicode

Total characters	17564
Distinct characters	46
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	26 ?
Unique (%)	0.5%

Sample

1st row	USA
2nd row	Spain
3rd row	Spain
4th row	USA
5th row	USA

Common Values

Value	Count	Frequency (%)
USA	3809	75.5%
UK	448	8.9%
France	154	3.1%
Canada	126	2.5%
Germany	97	1.9%
Australia	55	1.1%
India	34	0.7%
Spain	33	0.7%
China	30	0.6%
Italy	23	0.5%
Other values (53)	229	4.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
usa	3809	74.7%
uk	448	8.8%
france	154	3.0%
canada	126	2.5%
germany	100	2.0%
australia	55	1.1%
india	34	0.7%
spain	33	0.6%
china	30	0.6%
japan	23	0.5%
Other values (60)	290	5.7%

Most occurring characters

Value	Count	Frequency (%)
U	4259	24.2%
A	3879	22.1%
S	3876	22.1%
a	1092	6.2%
n	637	3.6%
K	481	2.7%
e	407	2.3%
r	404	2.3%
i	245	1.4%
d	218	1.2%
Other values (36)	2066	11.8%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	13168	75.0%
Lowercase Letter	4332	24.7%
Space Separator	64	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1092	25.2%
n	637	14.7%
e	407	9.4%
r	404	9.3%
i	245	5.7%
d	218	5.0%
c	192	4.4%
l	153	3.5%
y	139	3.2%
m	126	2.9%
Other values (14)	719	16.6%

Uppercase Letter

Value	Count	Frequency (%)
U	4259	32.3%
A	3879	29.5%
S	3876	29.4%
K	481	3.7%
C	163	1.2%
F	155	1.2%
G	103	0.8%
I	81	0.6%
N	29	0.2%
J	23	0.2%
Other values (11)	119	0.9%

Space Separator

Value	Count	Frequency (%)
	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17500	99.6%
Common	64	0.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
U	4259	24.3%
A	3879	22.2%
S	3876	22.1%
a	1092	6.2%
n	637	3.6%
K	481	2.7%
e	407	2.3%
r	404	2.3%
i	245	1.4%
d	218	1.2%
Other values (35)	2002	11.4%

Common

Value	Count	Frequency (%)
	64	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17564	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
U	4259	24.2%
A	3879	22.1%
S	3876	22.1%
a	1092	6.2%
n	637	3.6%
K	481	2.7%
e	407	2.3%
r	404	2.3%
i	245	1.4%
d	218	1.2%
Other values (36)	2066	11.8%

content_rating
Categorical

HIGH CORRELATION
MISSING

Distinct	18
Distinct (%)	0.4%
Missing	303
Missing (%)	6.0%
Memory size	286.5 KiB

R	2118
PG-13	1461
PG	701
Not Rated	116
G	112
Other values (13)	232

Length

Max length	9
Median length	2
Mean length	2.813924051
Min length	1

Characters and Unicode

Total characters	13338
Distinct characters	28
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Not Rated
2nd row	R
3rd row	R
4th row	PG-13
5th row	R

Common Values

Value	Count	Frequency (%)
R	2118	42.0%
PG-13	1461	29.0%
PG	701	13.9%
Not Rated	116	2.3%
G	112	2.2%
Unrated	62	1.2%
Approved	55	1.1%
TV-14	30	0.6%
TV-MA	20	0.4%
TV-PG	13	0.3%
Other values (8)	52	1.0%
(Missing)	303	6.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
r	2118	43.6%
pg-13	1461	30.1%
pg	701	14.4%
not	116	2.4%
rated	116	2.4%
g	112	2.3%
unrated	62	1.3%
approved	55	1.1%
tv-14	30	0.6%
tv-ma	20	0.4%
Other values (9)	65	1.3%

Most occurring characters

Value	Count	Frequency (%)
G	2303	17.3%
R	2234	16.7%
P	2190	16.4%
-	1543	11.6%
1	1498	11.2%
3	1461	11.0%
t	294	2.2%
e	242	1.8%
d	242	1.8%
a	187	1.4%
Other values (18)	1144	8.6%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	7184	53.9%
Decimal Number	2997	22.5%
Dash Punctuation	1543	11.6%
Lowercase Letter	1498	11.2%
Space Separator	116	0.9%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
G	2303	32.1%
R	2234	31.1%
P	2190	30.5%
N	123	1.7%
T	75	1.0%
V	75	1.0%
A	75	1.0%
U	62	0.9%
M	25	0.3%
X	13	0.2%
Other values (2)	9	0.1%

Lowercase Letter

Value	Count	Frequency (%)
t	294	19.6%
e	242	16.2%
d	242	16.2%
a	187	12.5%
o	171	11.4%
r	117	7.8%
p	110	7.3%
n	62	4.1%
v	55	3.7%
s	18	1.2%

Decimal Number

Value	Count	Frequency (%)
1	1498	50.0%
3	1461	48.7%
4	30	1.0%
7	8	0.3%

Space Separator

Value	Count	Frequency (%)
	116	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1543	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8682	65.1%
Common	4656	34.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
G	2303	26.5%
R	2234	25.7%
P	2190	25.2%
t	294	3.4%
e	242	2.8%
d	242	2.8%
a	187	2.2%
o	171	2.0%
N	123	1.4%
r	117	1.3%
Other values (12)	579	6.7%

Common

Value	Count	Frequency (%)
-	1543	33.1%
1	1498	32.2%
3	1461	31.4%
	116	2.5%
4	30	0.6%
7	8	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13338	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
G	2303	17.3%
R	2234	16.7%
P	2190	16.4%
-	1543	11.6%
1	1498	11.2%
3	1461	11.0%
t	294	2.2%
e	242	1.8%
d	242	1.8%
a	187	1.4%
Other values (18)	1144	8.6%

budget
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct	439
Distinct (%)	9.6%
Missing	492
Missing (%)	9.8%
Infinite	0
Infinite (%)	0.0%
Mean	39752620.44

Minimum	218
Maximum	1.22155 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	218
5-th percentile	500000
Q1	6000000
median	20000000
Q3	45000000
95-th percentile	130000000
Maximum	1.22155 × 10¹⁰
Range	1.221549978 × 10¹⁰
Interquartile range (IQR)	39000000

Descriptive statistics

Standard deviation	206114898.4
Coefficient of variation (CV)	5.184938658
Kurtosis	2724.257433
Mean	39752620.44
Median Absolute Deviation (MAD)	16000000
Skewness	48.15743539
Sum	1.809141756 × 10¹¹
Variance	4.248335136 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20000000	174	3.5%
15000000	143	2.8%
25000000	142	2.8%
30000000	141	2.8%
10000000	135	2.7%
40000000	131	2.6%
35000000	120	2.4%
5000000	111	2.2%
50000000	101	2.0%
12000000	92	1.8%
Other values (429)	3261	64.7%
(Missing)	492	9.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
218	1	< 0.1%
1100	1	< 0.1%
1400	1	< 0.1%
3250	1	< 0.1%
4500	1	< 0.1%
7000	3	0.1%
9000	1	< 0.1%
10000	3	0.1%
13000	1	< 0.1%
14000	1	< 0.1%

Value	Count	Frequency (%)
1.22155 × 10¹⁰	1	< 0.1%
4200000000	1	< 0.1%
2500000000	1	< 0.1%
2400000000	1	< 0.1%
2127519898	1	< 0.1%
1100000000	1	< 0.1%
1000000000	1	< 0.1%
700000000	2	< 0.1%
600000000	1	< 0.1%
553632000	1	< 0.1%

title_year
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	91
Distinct (%)	1.8%
Missing	108
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	2002.470517

Minimum	1916
Maximum	2016
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1916
5-th percentile	1979
Q1	1999
median	2005
Q3	2011
95-th percentile	2015
Maximum	2016
Range	100
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	12.47459892
Coefficient of variation (CV)	0.006229604289
Kurtosis	7.439212616
Mean	2002.470517
Median Absolute Deviation (MAD)	6
Skewness	-2.29227335
Sum	9882192
Variance	155.6156182
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2009	260	5.2%
2014	252	5.0%
2006	239	4.7%
2013	237	4.7%
2010	230	4.6%
2015	226	4.5%
2008	225	4.5%
2011	225	4.5%
2005	221	4.4%
2012	221	4.4%
Other values (81)	2599	51.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1916	1	< 0.1%
1920	1	< 0.1%
1925	1	< 0.1%
1927	1	< 0.1%
1929	2	< 0.1%
1930	1	< 0.1%
1932	1	< 0.1%
1933	2	< 0.1%
1934	1	< 0.1%
1935	1	< 0.1%

Value	Count	Frequency (%)
2016	106	2.1%
2015	226	4.5%
2014	252	5.0%
2013	237	4.7%
2012	221	4.4%
2011	225	4.5%
2010	230	4.6%
2009	260	5.2%
2008	225	4.5%
2007	204	4.0%

actor_2_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	917
Distinct (%)	18.2%
Missing	13
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	1651.754473

Minimum	0
Maximum	137000
Zeros	55
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	26
Q1	281
median	595
Q3	918
95-th percentile	11000
Maximum	137000
Range	137000
Interquartile range (IQR)	637

Descriptive statistics

Standard deviation	4042.438863
Coefficient of variation (CV)	2.447360627
Kurtosis	256.7951889
Mean	1651.754473
Median Absolute Deviation (MAD)	317
Skewness	9.884733179
Sum	8308325
Variance	16341311.96
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1000	309	6.1%
11000	111	2.2%
2000	100	2.0%
3000	76	1.5%
0	55	1.1%
10000	47	0.9%
14000	41	0.8%
13000	40	0.8%
826	37	0.7%
4000	34	0.7%
Other values (907)	4180	82.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	55	1.1%
2	14	0.3%
3	14	0.3%
4	12	0.2%
5	10	0.2%
6	7	0.1%
7	4	0.1%
8	9	0.2%
9	13	0.3%
10	9	0.2%

Value	Count	Frequency (%)
137000	1	< 0.1%
29000	1	< 0.1%
27000	2	< 0.1%
25000	3	0.1%
23000	6	0.1%
22000	11	0.2%
21000	4	0.1%
20000	6	0.1%
19000	7	0.1%
18000	9	0.2%

imdb_score
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	78
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.442137616

Minimum	1.6
Maximum	9.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1.6
5-th percentile	4.4
Q1	5.8
median	6.6
Q3	7.2
95-th percentile	8.09
Maximum	9.5
Range	7.9
Interquartile range (IQR)	1.4

Descriptive statistics

Standard deviation	1.125115866
Coefficient of variation (CV)	0.1746494615
Kurtosis	0.9356915064
Mean	6.442137616
Median Absolute Deviation (MAD)	0.7
Skewness	-0.7414713363
Sum	32487.7
Variance	1.265885711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.7	223	4.4%
6.6	201	4.0%
7.2	195	3.9%
6.5	186	3.7%
6.4	185	3.7%
7	184	3.6%
7.3	184	3.6%
6.8	181	3.6%
7.1	181	3.6%
6.1	179	3.5%
Other values (68)	3144	62.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.6	1	< 0.1%
1.7	1	< 0.1%
1.9	3	0.1%
2	2	< 0.1%
2.1	3	0.1%
2.2	3	0.1%
2.3	3	0.1%
2.4	2	< 0.1%
2.5	2	< 0.1%
2.6	2	< 0.1%

Value	Count	Frequency (%)
9.5	1	< 0.1%
9.3	1	< 0.1%
9.2	1	< 0.1%
9.1	3	0.1%
9	3	0.1%
8.9	5	0.1%
8.8	7	0.1%
8.7	13	0.3%
8.6	15	0.3%
8.5	24	0.5%

aspect_ratio
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	22
Distinct (%)	0.5%
Missing	329
Missing (%)	6.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.220403055

Minimum	1.18
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	1.18
5-th percentile	1.66
Q1	1.85
median	2.35
Q3	2.35
95-th percentile	2.35
Maximum	16
Range	14.82
Interquartile range (IQR)	0.5

Descriptive statistics

Standard deviation	1.385112535
Coefficient of variation (CV)	0.6238113087
Kurtosis	90.65322055
Mean	2.220403055
Median Absolute Deviation (MAD)	0
Skewness	9.390056312
Sum	10466.98
Variance	1.918536735
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2.35	2360	46.8%
1.85	1906	37.8%
1.78	110	2.2%
1.37	100	2.0%
1.33	68	1.3%
1.66	64	1.3%
16	45	0.9%
2.2	15	0.3%
2.39	15	0.3%
4	7	0.1%
Other values (12)	24	0.5%
(Missing)	329	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.18	1	< 0.1%
1.2	1	< 0.1%
1.33	68	1.3%
1.37	100	2.0%
1.44	1	< 0.1%
1.5	2	< 0.1%
1.66	64	1.3%
1.75	3	0.1%
1.77	1	< 0.1%
1.78	110	2.2%

Value	Count	Frequency (%)
16	45	0.9%
4	7	0.1%
2.76	3	0.1%
2.55	2	< 0.1%
2.4	3	0.1%
2.39	15	0.3%
2.35	2360	46.8%
2.24	1	< 0.1%
2.2	15	0.3%
2	5	0.1%

movie_facebook_likes
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	876
Distinct (%)	17.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7525.964505

Minimum	0
Maximum	349000
Zeros	2181
Zeros (%)	43.2%
Negative	0
Negative (%)	0.0%
Memory size	39.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	166
Q3	3000
95-th percentile	40000
Maximum	349000
Range	349000
Interquartile range (IQR)	3000

Descriptive statistics

Standard deviation	19320.44511
Coefficient of variation (CV)	2.567171968
Kurtosis	41.33443692
Mean	7525.964505
Median Absolute Deviation (MAD)	166
Skewness	5.05892689
Sum	37953439
Variance	373279599.2
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2181	43.2%
1000	109	2.2%
11000	83	1.6%
10000	81	1.6%
12000	62	1.2%
13000	58	1.2%
2000	56	1.1%
15000	53	1.1%
14000	50	1.0%
16000	47	0.9%
Other values (866)	2263	44.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	2181	43.2%
2	2	< 0.1%
3	1	< 0.1%
4	5	0.1%
5	2	< 0.1%
7	3	0.1%
8	1	< 0.1%
9	3	0.1%
10	2	< 0.1%
11	2	< 0.1%

Value	Count	Frequency (%)
349000	1	< 0.1%
199000	1	< 0.1%
197000	1	< 0.1%
191000	1	< 0.1%
190000	1	< 0.1%
175000	1	< 0.1%
166000	1	< 0.1%
165000	1	< 0.1%
164000	1	< 0.1%
153000	1	< 0.1%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	color	director_name	num_critic_for_reviews	duration	director_facebook_likes	actor_3_facebook_likes	actor_2_name	actor_1_facebook_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_facebook_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget	title_year	actor_2_facebook_likes	imdb_score	aspect_ratio	movie_facebook_likes
0	Color	Tara Subkoff	35.0	101.0	37.0	56.0	Balthazar Getty	501.0	NaN	Drama\|Horror\|Mystery\|Thriller	Timothy Hutton	#Horror	1547	1044	Lydia Hearst	1.0	bullying\|cyberbullying\|girl\|internet\|throat slitting	http://www.imdb.com/title/tt3526286/?ref_=fn_tt_tt_1	42.0	English	USA	Not Rated	1500000.0	2015.0	418.0	3.3	NaN	750
1	Color	Jaume Balagueró	222.0	85.0	57.0	6.0	Pablo Rosso	37.0	27024.0	Horror	Jonathan D. Mellor	[Rec] 2	55597	73	Andrea Ros	0.0	apartment\|apartment building\|blood sample\|crucifix\|zombie	http://www.imdb.com/title/tt1245112/?ref_=fn_tt_tt_1	148.0	Spanish	Spain	R	5600000.0	2009.0	9.0	6.6	1.85	4000
2	Color	Jaume Balagueró	252.0	78.0	57.0	7.0	Pablo Rosso	120.0	NaN	Horror	Manuela Velasco	[Rec]	131462	145	Carlos Lasarte	0.0	apartment building\|character's point of view camera shot\|fire station\|subjective camera\|television reporter	http://www.imdb.com/title/tt1038988/?ref_=fn_tt_tt_1	374.0	Spanish	Spain	R	1500000.0	2007.0	9.0	7.5	1.85	15000
3	Color	Dan Trachtenberg	411.0	104.0	16.0	82.0	John Gallagher Jr.	14000.0	71897215.0	Drama\|Horror\|Mystery\|Sci-Fi\|Thriller	Bradley Cooper	10 Cloverfield Lane	126893	14504	Sumalee Montano	0.0	alien\|bunker\|car crash\|kidnapping\|minimal cast	http://www.imdb.com/title/tt1179933/?ref_=fn_tt_tt_1	440.0	English	USA	PG-13	15000000.0	2016.0	338.0	7.3	2.35	33000
4	Color	Timothy Hines	1.0	111.0	0.0	247.0	Kelly LeBrock	1000.0	14616.0	Drama	Christopher Lambert	10 Days in a Madhouse	314	2059	Alexandra Callas	1.0	NaN	http://www.imdb.com/title/tt3453052/?ref_=fn_tt_tt_1	10.0	English	USA	R	12000000.0	2015.0	445.0	7.5	1.85	26000
5	Color	Gil Junger	133.0	97.0	19.0	835.0	Heath Ledger	23000.0	38176108.0	Comedy\|Drama\|Romance	Joseph Gordon-Levitt	10 Things I Hate About You	222099	37907	Andrew Keegan	6.0	dating\|protective father\|school\|shrew\|teen movie	http://www.imdb.com/title/tt0147800/?ref_=fn_tt_tt_1	549.0	English	USA	PG-13	16000000.0	1999.0	13000.0	7.2	1.85	10000
6	NaN	Christopher Barnard	NaN	22.0	0.0	NaN	NaN	5.0	NaN	Comedy	Mathew Buck	10,000 B.C.	6	5	NaN	0.0	NaN	http://www.imdb.com/title/tt1869849/?ref_=fn_tt_tt_1	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7.2	NaN	0
7	Color	Kevin Lima	84.0	100.0	36.0	439.0	Eric Idle	2000.0	66941559.0	Adventure\|Comedy\|Family	Ioan Gruffudd	102 Dalmatians	26413	4182	Jim Carter	1.0	dog\|parole\|parole officer\|prison\|puppy	http://www.imdb.com/title/tt0211181/?ref_=fn_tt_tt_1	77.0	English	USA	G	85000000.0	2000.0	795.0	4.8	1.85	372
8	Color	Robert Moresco	26.0	107.0	53.0	463.0	Brad Renfro	954.0	53481.0	Crime\|Drama\|Thriller	Brian Dennehy	10th & Wolf	5557	2512	Dash Mihok	5.0	desert storm\|fbi\|fbi agent\|fragmentation grenade\|woman kills attacker	http://www.imdb.com/title/tt0360323/?ref_=fn_tt_tt_1	34.0	English	USA	R	8000000.0	2006.0	551.0	6.4	2.35	294
9	Color	Greg Marcks	68.0	85.0	9.0	407.0	Barbara Hershey	861.0	NaN	Comedy\|Crime\|Drama	Henry Thomas	11:14	38273	2200	Shawn Hatosy	1.0	convenience store\|multiple perspectives\|murder\|paramedic\|van	http://www.imdb.com/title/tt0331811/?ref_=fn_tt_tt_1	133.0	English	USA	R	6000000.0	2003.0	618.0	7.2	1.85	0

Last rows

	color	director_name	num_critic_for_reviews	duration	director_facebook_likes	actor_3_facebook_likes	actor_2_name	actor_1_facebook_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_facebook_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget	title_year	actor_2_facebook_likes	imdb_score	aspect_ratio	movie_facebook_likes
5033	Color	Mora Stephens	35.0	103.0	5.0	842.0	Alexandra Breckenridge	1000.0	NaN	Drama\|Thriller	Ray Winstone	Zipper	4091	3408	Elena Satine	0.0	escort\|f word\|no opening credits\|one word title\|prosecutor	http://www.imdb.com/title/tt3346224/?ref_=fn_tt_tt_1	20.0	English	USA	R	4500000.0	2015.0	1000.0	5.7	2.35	987
5034	Color	Kevin Hamedani	64.0	89.0	23.0	23.0	Janette Armand	199.0	NaN	Comedy\|Horror\|Sci-Fi	Russell Hodgkinson	ZMD: Zombies of Mass Destruction	3650	292	Kevin Hamedani	0.0	cult\|homosexual\|island\|survival horror\|zombie	http://www.imdb.com/title/tt1134674/?ref_=fn_tt_tt_1	39.0	English	USA	R	500000.0	2009.0	37.0	5.1	1.85	0
5035	Color	David Fincher	377.0	162.0	21000.0	495.0	Jake Gyllenhaal	21000.0	33048353.0	Crime\|Drama\|History\|Mystery\|Thriller	Robert Downey Jr.	Zodiac	301279	36928	Anthony Edwards	0.0	cartoonist\|reporter\|serial killer\|zodiac\|zodiac killer	http://www.imdb.com/title/tt0443706/?ref_=fn_tt_tt_1	589.0	English	USA	R	65000000.0	2007.0	15000.0	7.7	2.35	12000
5036	Color	K. King	150.0	93.0	3.0	115.0	Shona Kay	214.0	NaN	Action\|Comedy\|Horror	Jason K. Wixom	Zombie Hunter	2057	656	Jarrod Phillips	2.0	desert\|drifter\|seduction\|siege\|zombie	http://www.imdb.com/title/tt2446502/?ref_=fn_tt_tt_1	30.0	English	USA	Not Rated	1000000.0	2013.0	211.0	3.5	2.35	0
5037	Color	Ruben Fleischer	445.0	88.0	181.0	11.0	Bill Murray	15000.0	75590286.0	Adventure\|Comedy\|Horror\|Sci-Fi	Emma Stone	Zombieland	386217	28011	Derek Graf	4.0	amusement park\|on the road\|zombie\|zombie apocalypse\|zombie spoof	http://www.imdb.com/title/tt1156398/?ref_=fn_tt_tt_1	553.0	English	USA	R	23600000.0	2009.0	13000.0	7.7	2.35	26000
5038	Color	Frank Coraci	178.0	102.0	153.0	269.0	Leslie Bibb	3000.0	80360866.0	Comedy\|Family\|Romance	Rosario Dawson	Zookeeper	44662	5392	Nicholas Turturro	1.0	champagne bottle\|coca cola\|jewelry box\|red bull\|zoo	http://www.imdb.com/title/tt1222817/?ref_=fn_tt_tt_1	127.0	English	USA	PG	80000000.0	2011.0	1000.0	5.2	2.35	0
5039	Color	Ben Stiller	226.0	102.0	0.0	1000.0	Will Ferrell	14000.0	28837115.0	Comedy	Milla Jovovich	Zoolander 2	34964	24107	Justin Theroux	4.0	chosen one\|fashion\|fashion model\|model\|retired	http://www.imdb.com/title/tt1608290/?ref_=fn_tt_tt_1	150.0	English	USA	PG-13	50000000.0	2016.0	8000.0	4.8	2.35	28000
5040	Color	Ben Stiller	135.0	90.0	0.0	8000.0	Alexander Skarsgård	14000.0	45162741.0	Comedy	Milla Jovovich	Zoolander	201084	34565	Will Ferrell	0.0	fashion\|malaysia\|male model\|reporter\|rival	http://www.imdb.com/title/tt0196229/?ref_=fn_tt_tt_1	523.0	English	Germany	PG-13	28000000.0	2001.0	10000.0	6.6	2.35	0
5041	Color	Peter Hewitt	63.0	83.0	12.0	690.0	Rip Torn	2000.0	11631245.0	Action\|Adventure\|Family\|Sci-Fi	Kevin Zegers	Zoom	15015	5022	Thomas F. Wilson	5.0	bruise\|female hero\|super strength\|superhero\|teenage superhero	http://www.imdb.com/title/tt0383060/?ref_=fn_tt_tt_1	113.0	English	USA	PG	35000000.0	2006.0	826.0	4.2	1.85	494
5042	Color	Jérôme Salle	69.0	110.0	22.0	44.0	Tanya van Graan	5000.0	NaN	Crime\|Drama\|Thriller	Orlando Bloom	Zulu	12817	5273	Conrad Kemp	0.0	apartheid\|corpse\|male nudity\|murder\|police officer	http://www.imdb.com/title/tt2249221/?ref_=fn_tt_tt_1	43.0	English	France	R	16000000.0	2013.0	170.0	6.7	2.35	0

Most frequently occurring

	color	director_name	num_critic_for_reviews	duration	director_facebook_likes	actor_3_facebook_likes	actor_2_name	actor_1_facebook_likes	gross	genres	actor_1_name	movie_title	num_voted_users	cast_total_facebook_likes	actor_3_name	facenumber_in_poster	plot_keywords	movie_imdb_link	num_user_for_reviews	language	country	content_rating	budget	title_year	actor_2_facebook_likes	imdb_score	aspect_ratio	movie_facebook_likes	# duplicates
0	Black and White	Yimou Zhang	283.0	80.0	611.0	576.0	Tony Chiu Wai Leung	5000.0	84961.0	Action\|Adventure\|History	Jet Li	Hero	149414	6229	Maggie Cheung	4.0	china\|flying\|king\|palace\|sword	http://www.imdb.com/title/tt0299977/?ref_=fn_tt_tt_1	841.0	Mandarin	China	PG-13	31000000.0	2002.0	643.0	7.9	2.35	0	2
1	Color	Albert Hughes	208.0	122.0	117.0	140.0	Jason Flemyng	40000.0	31598308.0	Horror\|Mystery\|Thriller	Johnny Depp	From Hell	124765	41636	Ian Richardson	1.0	freemason\|jack the ripper\|opium\|prostitute\|victorian era	http://www.imdb.com/title/tt0120681/?ref_=fn_tt_tt_1	541.0	English	USA	R	35000000.0	2001.0	1000.0	6.8	2.35	0	2
2	Color	Angelina Jolie Pitt	322.0	137.0	11000.0	465.0	Jack O'Connell	769.0	115603980.0	Biography\|Drama\|Sport\|War	Finn Wittrock	Unbroken	103589	2938	Alex Russell	0.0	emaciation\|male nudity\|plane crash\|prisoner of war\|torture	http://www.imdb.com/title/tt1809398/?ref_=fn_tt_tt_1	351.0	English	USA	PG-13	65000000.0	2014.0	698.0	7.2	2.35	35000	2
3	Color	Bill Condon	322.0	115.0	386.0	12000.0	Kristen Stewart	21000.0	292298923.0	Adventure\|Drama\|Fantasy\|Romance	Robert Pattinson	The Twilight Saga: Breaking Dawn - Part 2	185394	59177	Taylor Lautner	3.0	battle\|friend\|super strength\|vampire\|vision	http://www.imdb.com/title/tt1673434/?ref_=fn_tt_tt_1	329.0	English	USA	PG-13	120000000.0	2012.0	17000.0	5.5	2.35	65000	2
4	Color	Brett Ratner	245.0	101.0	420.0	467.0	Rufus Sewell	12000.0	72660029.0	Action\|Adventure	Dwayne Johnson	Hercules	115687	16235	Ingrid Bolsø Berdal	0.0	army\|greek mythology\|hercules\|king\|mercenary	http://www.imdb.com/title/tt1267297/?ref_=fn_tt_tt_1	269.0	English	USA	PG-13	100000000.0	2014.0	3000.0	6.0	2.35	21000	2
5	Color	Bruce McCulloch	52.0	85.0	54.0	455.0	Megan Mullally	985.0	13973532.0	Comedy\|Crime	Martin Starr	Stealing Harvard	11211	3065	Chris Penn	1.0	black humor\|crying during sex\|harvard\|humor\|man with glasses	http://www.imdb.com/title/tt0265808/?ref_=fn_tt_tt_1	92.0	English	USA	PG-13	25000000.0	2002.0	637.0	5.1	1.85	215	2
6	Color	Danny Boyle	393.0	101.0	0.0	888.0	Spencer Wilding	3000.0	2319187.0	Crime\|Drama\|Mystery\|Thriller	Rosario Dawson	Trance	92640	5056	Tuppence Middleton	0.0	amnesia\|criminal\|heist\|hypnotherapy\|lost painting	http://www.imdb.com/title/tt1924429/?ref_=fn_tt_tt_1	212.0	English	UK	R	20000000.0	2013.0	1000.0	7.0	2.35	23000	2
7	Color	David Yates	248.0	110.0	282.0	103.0	Alexander Skarsgård	11000.0	124051759.0	Action\|Adventure\|Drama\|Romance	Christoph Waltz	The Legend of Tarzan	42372	21175	Casper Crump	2.0	africa\|capture\|jungle\|male objectification\|tarzan	http://www.imdb.com/title/tt0918940/?ref_=fn_tt_tt_1	239.0	English	USA	PG-13	180000000.0	2016.0	10000.0	6.6	2.35	29000	2
8	Color	Frank Oz	168.0	87.0	0.0	548.0	Ewen Bremner	22000.0	8579684.0	Comedy	Peter Dinklage	Death at a Funeral	89547	24324	Kris Marshall	0.0	end credits roll call\|four word title\|funeral\|secret\|uncle	http://www.imdb.com/title/tt0795368/?ref_=fn_tt_tt_1	199.0	English	USA	R	9000000.0	2007.0	557.0	7.4	1.85	0	2
9	Color	Guy Ritchie	151.0	104.0	0.0	1000.0	Brad Pitt	26000.0	30093107.0	Comedy\|Crime	Jason Statham	Snatch	600996	39175	Jason Flemyng	6.0	boxer\|boxing\|diamond\|fight\|gypsy	http://www.imdb.com/title/tt0208092/?ref_=fn_tt_tt_1	726.0	English	UK	R	6000000.0	2000.0	11000.0	8.3	1.85	27000	2

Overview

Variables

Common Values

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Pie chart

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Latin

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ASCII

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Space Separator

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Latin

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ASCII

Latin 1 Sup

Common Values

Length

Most occurring characters

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Uppercase Letter

Other Punctuation

Decimal Number

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Latin 1 Sup

Common Values

Length

Most occurring characters

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Most frequent character per category

Lowercase Letter

Uppercase Letter

Math Symbol

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

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ASCII

Common Values

Length

Most occurring characters

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Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number